Junling Wang
- Neurology top 2%
- Parkinson's Disease Mechanisms and Treatments 31
- Amyotrophic Lateral Sclerosis Research 29
- Neurological diseases and metabolism 19
- Neurological disorders and treatments 17
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- Genetic Neurodegenerative Diseases 47
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 31
- Amyotrophic Lateral Sclerosis Research 29
- Neurological diseases and metabolism 19
- Neurological disorders and treatments 17
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research 21
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 32
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- Alzheimer's disease research and treatments 15
- Journals
- CNS Neuroscience & Therapeutics (7 papers)Neurobiology of Aging (7 papers)Journal of the Neurological Sciences (7 papers)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Junling Wang
130 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 103
- Neurology 595
- Cellular and Molecular Neuroscience 665
- Neurology 214
- Genetics 187
- Molecular Biology 803
Countries citing papers authored by Junling Wang
This map shows the geographic impact of Junling Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junling Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junling Wang more than expected).
Fields of papers citing papers by Junling Wang
This network shows the impact of papers produced by Junling Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junling Wang. The network helps show where Junling Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junling Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 21 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 31 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 6 | |
| 14 | 2020 | 4 | |
| 15 | 2020 | 21 | |
| 16 | 2020 | 11 | |
| 17 | 2020 | 22 | |
| 18 | 2019 | 17 | |
| 19 | 2015 | 19 | |
| 20 | 2013 | 1 |
About Junling Wang
Junling Wang is a scholar working on Neurology, Cellular and Molecular Neuroscience, Neurology, Genetics and Molecular Biology, having authored 140 papers that have together received 1.6k indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (47 papers), Mitochondrial Function and Pathology (32 papers), Parkinson's Disease Mechanisms and Treatments (31 papers), Amyotrophic Lateral Sclerosis Research (29 papers), Neurogenetic and Muscular Disorders Research (21 papers), Neurological diseases and metabolism (19 papers), Neurological disorders and treatments (17 papers) and Alzheimer's disease research and treatments (15 papers). The work is most often cited by research in Neurology (595 citations), Cellular and Molecular Neuroscience (665 citations), Neurology (214 citations), Genetics (187 citations) and Molecular Biology (803 citations). Junling Wang has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Beisha Tang, Lu Shen, Hong Jiang, Kun Xia, Bin Jiao, Xinxiang Yan, Lifang Lei, Jifeng Guo, Xinxin Liao and Yafang Zhou. Their work appears in journals such as CNS Neuroscience & Therapeutics, Neurobiology of Aging, Journal of the Neurological Sciences, Frontiers in Aging Neuroscience and Scientific Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.